EP4119059A4 - Trained model generation program, image generation program, trained model generation device, image generation device, trained model generation method, and image generation method - Google Patents

Trained model generation program, image generation program, trained model generation device, image generation device, trained model generation method, and image generation method Download PDF

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Publication number
EP4119059A4
EP4119059A4 EP21767498.5A EP21767498A EP4119059A4 EP 4119059 A4 EP4119059 A4 EP 4119059A4 EP 21767498 A EP21767498 A EP 21767498A EP 4119059 A4 EP4119059 A4 EP 4119059A4
Authority
EP
European Patent Office
Prior art keywords
trained model
image generation
model generation
program
image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP21767498.5A
Other languages
German (de)
French (fr)
Other versions
EP4119059A1 (en
Inventor
Hiroyuki Kudo
Kazuki Mori
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Tsukuba NUC
Original Assignee
University of Tsukuba NUC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by University of Tsukuba NUC filed Critical University of Tsukuba NUC
Publication of EP4119059A1 publication Critical patent/EP4119059A1/en
Publication of EP4119059A4 publication Critical patent/EP4119059A4/en
Pending legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/005—Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/006—Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography
    • G06T2211/436—Limited angle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography
    • G06T2211/441—AI-based methods, deep learning or artificial neural networks

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Surgery (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Optics & Photonics (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Algebra (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Image Analysis (AREA)
EP21767498.5A 2020-03-11 2021-02-24 Trained model generation program, image generation program, trained model generation device, image generation device, trained model generation method, and image generation method Pending EP4119059A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2020042154 2020-03-11
PCT/JP2021/006833 WO2021182103A1 (en) 2020-03-11 2021-02-24 Trained model generation program, image generation program, trained model generation device, image generation device, trained model generation method, and image generation method

Publications (2)

Publication Number Publication Date
EP4119059A1 EP4119059A1 (en) 2023-01-18
EP4119059A4 true EP4119059A4 (en) 2024-04-03

Family

ID=77670530

Family Applications (1)

Application Number Title Priority Date Filing Date
EP21767498.5A Pending EP4119059A4 (en) 2020-03-11 2021-02-24 Trained model generation program, image generation program, trained model generation device, image generation device, trained model generation method, and image generation method

Country Status (5)

Country Link
US (1) US20230106845A1 (en)
EP (1) EP4119059A4 (en)
JP (1) JPWO2021182103A1 (en)
CN (1) CN115243618A (en)
WO (1) WO2021182103A1 (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017223560A1 (en) * 2016-06-24 2017-12-28 Rensselaer Polytechnic Institute Tomographic image reconstruction via machine learning
CN107871332A (en) * 2017-11-09 2018-04-03 南京邮电大学 A kind of CT based on residual error study is sparse to rebuild artifact correction method and system
US20190251713A1 (en) * 2018-02-13 2019-08-15 Wisconsin Alumni Research Foundation System and method for multi-architecture computed tomography pipeline
CN110751701A (en) * 2019-10-18 2020-02-04 北京航空航天大学 X-ray absorption contrast computed tomography incomplete data reconstruction method based on deep learning

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016033458A1 (en) * 2014-08-29 2016-03-03 The University Of North Carolina At Chapel Hill Restoring image quality of reduced radiotracer dose positron emission tomography (pet) images using combined pet and magnetic resonance (mr)
JP6753798B2 (en) 2017-02-21 2020-09-09 株式会社日立製作所 Medical imaging equipment, image processing methods and programs
US10782378B2 (en) * 2018-05-16 2020-09-22 Siemens Healthcare Gmbh Deep learning reconstruction of free breathing perfusion
KR102094598B1 (en) * 2018-05-29 2020-03-27 한국과학기술원 Method for processing sparse-view computed tomography image using artificial neural network and apparatus therefor

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017223560A1 (en) * 2016-06-24 2017-12-28 Rensselaer Polytechnic Institute Tomographic image reconstruction via machine learning
CN107871332A (en) * 2017-11-09 2018-04-03 南京邮电大学 A kind of CT based on residual error study is sparse to rebuild artifact correction method and system
US20190251713A1 (en) * 2018-02-13 2019-08-15 Wisconsin Alumni Research Foundation System and method for multi-architecture computed tomography pipeline
CN110751701A (en) * 2019-10-18 2020-02-04 北京航空航天大学 X-ray absorption contrast computed tomography incomplete data reconstruction method based on deep learning

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
LI YINSHENG ET AL: "Learning to Reconstruct Computed Tomography Images Directly From Sinogram Data Under A Variety of Data Acquisition Conditions", IEEE TRANSACTIONS ON MEDICAL IMAGING, IEEE, USA, vol. 38, no. 10, 1 October 2019 (2019-10-01), pages 2469 - 2481, XP011748202, ISSN: 0278-0062, [retrieved on 20191001], DOI: 10.1109/TMI.2019.2910760 *
See also references of WO2021182103A1 *
YONGBO WANG ET AL: "Iterative quality enhancement via residual-artifact learning networks for low-dose CT", PHYSICS IN MEDICINE AND BIOLOGY, INSTITUTE OF PHYSICS PUBLISHING, BRISTOL GB, vol. 63, no. 21, 23 October 2018 (2018-10-23), pages 215004, XP020331444, ISSN: 0031-9155, [retrieved on 20181023], DOI: 10.1088/1361-6560/AAE511 *

Also Published As

Publication number Publication date
JPWO2021182103A1 (en) 2021-09-16
EP4119059A1 (en) 2023-01-18
CN115243618A (en) 2022-10-25
WO2021182103A1 (en) 2021-09-16
US20230106845A1 (en) 2023-04-06

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